Real time air pollution modeling and dissemination of location based

information using mobile devices

Azeez.P.A.1 and R. Mohanraj2

Research personals: Nishadh.K.A. and Aswathy .P.V1- Director, Sálim Ali Centre for Ornithology and Natural History, Anaikatty Post, Coimbatore-

641108, Tamil Nadu

2- Asst. Professor, Department of Environmental Management, Bharathidasan University, Tiruchirappalli - 620024, Tamil Nadu

2013- 2014

Current status on air pollution monitoring domain

Air pollution problem

Real time air pollution monitoring initiatives

Current focus on low cost sensors

Objectives1.Develop Sensor Observation Service (SOS) for spatially distributed air quality sensors and real time meteorological data website.

2.Develop real time air quality modeling web processing service using the SOS, validate and compare it with similar other models.

3.Develop a Geo-SMS based android application to disseminate the modeling result.

The Project1. Data collection and organization2. Data processing3. Data dissemination

OGC standards

ToolsData collection and organization

SOS for web pages (on going)SOS for sensors in GSM mode (on going)SOS for imageries

Data processing

WPS for data filter and image analysis

Data dissemination: query and visualizationGeoSMS Android app (on going)QualitySCHU (on going)

Data collection and organization: SOS for web pages

Weather Underground

API

TNAU WebPages

Selenium Script

With cron jobhtml pages

Scrapy with cron job

Mysql database

Python script to CSV

SOS importer SOS

Python Script with cron job

Json

Tamil Nadu Agriculture Weather Network (TAWN) website and location of AWS stations in Coimbatore districts

Scrapy spider code

Data collection and organization: SOS for sensors in GSM mode

Android App with

map

GeoSMS onclick

Mysql database

Python script to CSV

SOS importer SOS

Mobile particulate

monitor

Bluetooth Module

Android Tablet

Shenyi Dust

sensor

Arduino Server and Gammu

Dylos air quality monitor

Raspberry pi

GSM data card

Server and Gammu

Dylos air quality monitor and Raspberry pi single board computer

Dust sensor based Android Arduino mobile monitor

Data collection and organization: SOS for imageries

Filter image particulate

monitor

MODIS data repository

PyMODIS With cron job

Tiff imageriesMetadata

with image link

Mysql database

Python script to CSV

SOS importer SOS

Python Script with cron job

for Image capture

Image received by Server with

metadata and image link

Real time particulate matter monitor based on filter image analysis, design and prototype

Data processing: WPS for data filter and image analysis

SOS WPS R script

Data filter

Image analysis

52° WPS installation in the server

PyWPS installation in the server

GeoSMS Android app

Mobile atlas creator

Sqlite based offline map

Android appGeoSMS on

click

Air quality here app

QualitySCHU

Open Layer maps

SOS Point overlays WPS

QualitySCHU web map installation in the server

Thank you